An improved clustering algorithm based on finite Gaussian mixture model

Keyphrases

• Improved Clustering Algorithm 100%
• Finite Gaussian Mixture Models 100%
• Missing Data 60%
• EM Algorithm 60%
• Incomplete Data 60%
• Novel Algorithm 40%
• Cluster Analysis 20%
• Density Distribution 20%
• Clustering Results 20%
• Number of Components 20%
• Entropy Model 20%
• Conditional Entropy 20%
• Mixed Density 20%
• Convergence Rate 20%
• Continuous Distribution 20%
• Clustering Analysis 20%
• Penalized Maximum Likelihood Estimation 20%

Mathematics

• Gaussian Mixture Model 100%
• Clustering Algorithm 100%
• Incomplete Data 60%
• EM Algorithm 60%
• Approximates 20%
• Cluster Analysis 20%
• Maximum Likelihood Estimation 20%
• Continuous Distribution 20%
• Conditional Entropy 20%

Computer Science

• Clustering Algorithm 100%
• Gaussian Mixture Model 100%
• Experimental Result 20%
• maximum-likelihood 20%
• Clustering Analysis 20%
• Cluster Analysis 20%
• Convergence Speed 20%
• Likelihood Estimation 20%
• Clustering Result 20%
• Conditional Entropy 20%
• Continuous Distribution 20%